From 1a808bb1a96c75e4e3c10fdbbb21741849c6be8a Mon Sep 17 00:00:00 2001 From: Quarto GHA Workflow Runner Date: Mon, 7 Oct 2024 16:49:11 +0000 Subject: [PATCH] Built site for gh-pages --- .nojekyll | 2 +- "analysis/b\303\274lach.html" | 2 +- search.json | 2 +- sitemap.xml | 140 +++++++++++++++++----------------- 4 files changed, 73 insertions(+), 73 deletions(-) diff --git a/.nojekyll b/.nojekyll index ee309f4..1105b29 100644 --- a/.nojekyll +++ b/.nojekyll @@ -1 +1 @@ -848b827b \ No newline at end of file +e1a635c1 \ No newline at end of file diff --git "a/analysis/b\303\274lach.html" "b/analysis/b\303\274lach.html" index 0d4a60b..0919663 100644 --- "a/analysis/b\303\274lach.html" +++ "b/analysis/b\303\274lach.html" @@ -694,7 +694,7 @@

How many clusters?

# Add BUE081
 # Create new point geometries with the desired coordinates
-bue081 = Point(8.55892, 47.43086)  # (East, North)
+bue081 = Point(8.53595, 47.52424)  # (East, North)
 
 # Create a new GeoDataFrame for the point, adding the properties (like 'ID')
 maxvogt_item = geopandas.GeoDataFrame(
diff --git a/search.json b/search.json
index 0c809cb..d600b18 100644
--- a/search.json
+++ b/search.json
@@ -2607,7 +2607,7 @@
     "href": "analysis/bülach.html#clustering",
     "title": "maxvogt-analysis: Bülach",
     "section": "Clustering",
-    "text": "Clustering\nStandardize values before clustering.\n\nstandardized = (percentiles_joined - percentiles_joined.mean()) / percentiles_joined.std()\n\n\nstandardized\n\n\nHow many clusters?\n\ncgram = Clustergram(range(1, 12), n_init=10, random_state=0)\ncgram.fit(standardized.fillna(0))\n\n\nshow(cgram.bokeh())\n\n\ncgram.labels.head()\n\n\nmerged[\"cluster\"] = cgram.labels[8].values\n\n\nurban_types = buildings[[\"geometry\", \"uID\"]].merge(merged[[\"uID\", \"cluster\"]], on=\"uID\")\n\n\nurban_types.explore(\"cluster\", categorical=True, prefer_canvas=True, tiles=\"CartoDB Positron\", tooltip=False)\n\n\n# Add BUE081\n# Create new point geometries with the desired coordinates\nbue081 = Point(8.55892, 47.43086)  # (East, North)\n\n# Create a new GeoDataFrame for the point, adding the properties (like 'ID')\nmaxvogt_item = geopandas.GeoDataFrame(\n    {\n        'uID': ['bue081'],\n        'name': ['Remote Control Center Service Building'],\n        'constructed': ['1980']\n    },\n    geometry=[bue081],\n    crs='EPSG:4326'\n)\n\n# Convert to CH coordinate system\nmaxvogt_item = maxvogt_item.to_crs(local_crs)\n\n# Append the new feature to the existing GeoDataFrame\nurban_types = pandas.concat([urban_types, maxvogt_item])"
+    "text": "Clustering\nStandardize values before clustering.\n\nstandardized = (percentiles_joined - percentiles_joined.mean()) / percentiles_joined.std()\n\n\nstandardized\n\n\nHow many clusters?\n\ncgram = Clustergram(range(1, 12), n_init=10, random_state=0)\ncgram.fit(standardized.fillna(0))\n\n\nshow(cgram.bokeh())\n\n\ncgram.labels.head()\n\n\nmerged[\"cluster\"] = cgram.labels[8].values\n\n\nurban_types = buildings[[\"geometry\", \"uID\"]].merge(merged[[\"uID\", \"cluster\"]], on=\"uID\")\n\n\nurban_types.explore(\"cluster\", categorical=True, prefer_canvas=True, tiles=\"CartoDB Positron\", tooltip=False)\n\n\n# Add BUE081\n# Create new point geometries with the desired coordinates\nbue081 = Point(8.53595, 47.52424)  # (East, North)\n\n# Create a new GeoDataFrame for the point, adding the properties (like 'ID')\nmaxvogt_item = geopandas.GeoDataFrame(\n    {\n        'uID': ['bue081'],\n        'name': ['Remote Control Center Service Building'],\n        'constructed': ['1980']\n    },\n    geometry=[bue081],\n    crs='EPSG:4326'\n)\n\n# Convert to CH coordinate system\nmaxvogt_item = maxvogt_item.to_crs(local_crs)\n\n# Append the new feature to the existing GeoDataFrame\nurban_types = pandas.concat([urban_types, maxvogt_item])"
   },
   {
     "objectID": "analysis/bülach.html#export",
diff --git a/sitemap.xml b/sitemap.xml
index b57d769..fe7fe8d 100644
--- a/sitemap.xml
+++ b/sitemap.xml
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